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  "extra_authors": [
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  "extra_authors": [
            
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    {
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    {
            
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      "extra_author": "Mostafa Salehi",
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      "extra_author": "Mostafa Salehi",
            
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      "orcid": ""
            
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    },
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    {
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      "extra_author": "Shaghayegh Najari",
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      "extra_author": "Shaghayegh Najari",
            
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      "orcid": ""
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      "description": "",
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      "description": "",
            
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      "display_name": "Rumor Detection",
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      "name": "rumor-detection",
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      "name": "rumor-detection",
            
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      "title": "Rumor Detection"
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      "title": "Rumor Detection"
            
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      "description": "",
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      "description": "",
            
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      "display_name": "Social Media",
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      "display_name": "Social Media",
            
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      "name": "social-media",
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      "name": "social-media",
            
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      "title": "Social Media"
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      "title": "Social Media"
            
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  "name": "twitter15",
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  "name": "twitter15",
            
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  "notes": "Rumor detection on Twitter with Claim-Guided Hierarchical 
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  "notes": "Rumor detection on Twitter with Claim-Guided Hierarchical 
            
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Graph Attention Networks. This paper proposes a novel Claim-guided 
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Graph Attention Networks. This paper proposes a novel Claim-guided 
            
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Hierarchical Graph Attention Network based on undirected interaction 
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Hierarchical Graph Attention Network based on undirected interaction 
            
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graphs to learn graph attention-based embeddings that attend to user 
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graphs to learn graph attention-based embeddings that attend to user 
            
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interactions for rumor detection.",
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interactions for rumor detection.",
            
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      "name": "Rumor Detection",
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      "display_name": "Social Media",
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      "display_name": "Social Media",
            
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      "id": "b485936d-4587-46d6-bbcd-40224d18c059",
            
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  ],
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  "title": "Twitter15",
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  "title": "Twitter15",
            
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  "type": "dataset",
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  "version": ""
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  "version": ""
            
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}
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}